• DocumentCode
    2017886
  • Title

    Using automated evaluation of efficiency for photovoltaic power plant

  • Author

    Tutsch, Michal ; Vojcinak, Petr ; Koziorek, Jiri ; Skrepek, Michal

  • Author_Institution
    Dept. of Meas. & Control, VSB - Tech. Univ. of Ostrava, Ostrava, Czech Republic
  • fYear
    2011
  • fDate
    5-9 Sept. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The paper deals with the methodology for assessing the production of solar photovoltaic power plant. Operational quality of a solar power is given to early detection of possible failures of individual components. This can be achieved only by constantly monitoring the status of the plant and their proper evaluation. It is described design of whole data acquisition system based on data mining and automatic detection of failures and follow-up evaluation of data. According to a number of newly installed plants, such as in the Czech Republic, it is a very topical issue. The proposed procedures are validated in operation and maintenance of solar power with the performance 350 kWp built in campus of VSB Technical University of Ostrava (also VSB-TUO).
  • Keywords
    SCADA systems; data mining; photovoltaic power systems; solar power stations; Czech Republic; VSB Technical University of Ostrava; data acquisition system; data mining; efficiency evaluation automation; failure automatic detection; solar photovoltaic power plant production; solar power operational quality; Inverters; Monitoring; Photovoltaic systems; Production; Temperature measurement; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2011 IEEE 16th Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1946-0740
  • Print_ISBN
    978-1-4577-0017-0
  • Electronic_ISBN
    1946-0740
  • Type

    conf

  • DOI
    10.1109/ETFA.2011.6059189
  • Filename
    6059189